llmrun

Mistral Large 4 1T A52B vs GLM 5.3

GLM 5.3 leads llmrun Score 130.1 to 118.0; neither fits 24 GB.

Run GLM 5.3 in the cloud →

1000B · 52B active · 1M context · Other · Sep 2026

VisionFunctions

753.3B · 41.8B active · 1M context · Other · Aug 2026

ChatFunctions

Which should you choose?

Choose Mistral Large 4 1T A52B if you want…

  • Also does vision

    GLM 5.3 doesn't list it

Choose GLM 5.3 if you want…

  • Higher llmrun Score

    130.1 vs 118.0

  • Stronger at coding

    129.8 vs 112.3

  • Stronger at agents

    133.5 vs 116.6

  • Ahead on the benchmarks

    18 of 21 shared boards

  • Lighter on memory

    456.2 vs 603.9 GB at Q4_K_M

  • Also does chat

    Mistral Large 4 1T A52B doesn't list it

On your hardware

Each model at its default quant (Q4_K_M), a smaller one when it must. Estimates, ±20%.

8 GB

RTX 4060 · 8 GB tier

Mistral Large 4 1T A52B

Doesn't fit

smallest quant needs 304.3 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

12 GB

RTX 3060 12GB · 12 GB tier

Mistral Large 4 1T A52B

Doesn't fit

smallest quant needs 304.3 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Mistral Large 4 1T A52B

Doesn't fit

smallest quant needs 304.3 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

24 GBreference

RTX 4090 · 24 GB tier

Mistral Large 4 1T A52B

Doesn't fit

smallest quant needs 304.3 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

32 GB

RTX 5090 · 32 GB tier

Mistral Large 4 1T A52B

Doesn't fit

smallest quant needs 304.3 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

48 GB

RTX A6000 · 48 GB tier

Mistral Large 4 1T A52B

Doesn't fit

smallest quant needs 304.3 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 32 GB

Mac Mini M4 · Macs

Mistral Large 4 1T A52B

Doesn't fit

smallest quant needs 304.3 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 64 GB

Mac Studio M4 Max · Macs

Mistral Large 4 1T A52B

Doesn't fit

smallest quant needs 304.3 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 128 GB

Mac Studio M4 Max · Macs

Mistral Large 4 1T A52B

Doesn't fit

smallest quant needs 304.3 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).

llmrun Score

with its 90% range · bars share one scale

Overall

Mistral Large 4 1T A52B

118.0115–121

GLM 5.3

130.1128–132

Coding

Mistral Large 4 1T A52B

112.3108–117

GLM 5.3

129.8124–136

Agents

Mistral Large 4 1T A52B

116.6109–125

GLM 5.3

133.5130–137

Math

Mistral Large 4 1T A52B

121.7118–125

GLM 5.3

128.5126–131

Science

Mistral Large 4 1T A52B

120.4109–132

GLM 5.3

130.6118–143

Reasoning

Mistral Large 4 1T A52B

120.3114–127

GLM 5.3

130.1124–136

Mistral Large 4 1T A52B · #18 of 104 open models · #16 of 101 that fit ≤640 GB

GLM 5.3 · #5 of 104 open models · #4 of 101 that fit ≤512 GB

Benchmarks

21 shared boards: Mistral Large 4 1T A52B leads 3, GLM 5.3 leads 18 · Benchmarks imported Oct 2026

Mistral Large 4 1T A52B

88.1%#16/100 open

IndependentEpoch AI · Oct 2026

GLM 5.3

90.9%#8/100 open

IndependentEpoch AI · Aug 2026

Mistral Large 4 1T A52B

77.2#8/20 open

IndependentLiveBench · Jun 2026

GLM 5.3

79.0#4/20 open

IndependentLiveBench · Jun 2026

Mistral Large 4 1T A52B

83.9#9/20 open

IndependentLiveBench · Jun 2026

GLM 5.3

85.8#7/20 open

IndependentLiveBench · Jun 2026

Mistral Large 4 1T A52B

98.3%#4/88 open

IndependentEpoch AI · Oct 2026

GLM 5.3

91.1%#15/88 open

IndependentEpoch AI · Aug 2026

Mistral Large 4 1T A52B

58.6%#8/19 open

IndependentEpoch AI · Oct 2026

GLM 5.3

68.8%#4/19 open

IndependentEpoch AI · Aug 2026

Mistral Large 4 1T A52B

93.6#2/20 open

IndependentLiveBench · Jun 2026

GLM 5.3

87.9#9/20 open

IndependentLiveBench · Jun 2026

Mistral Large 4 1T A52B

54.2%#7/70 open

Lab-reportedEpoch AI · Oct 2026

GLM 5.3

59.0%#3/70 open

Lab-reportedEpoch AI · Aug 2026

Mistral Large 4 1T A52B

20.0%#17/19 open

IndependentEpoch AI · Oct 2026

GLM 5.3

41.0%#7/19 open

IndependentEpoch AI · Aug 2026

Mistral Large 4 1T A52B

26.8%#8/15 open

IndependentEpoch AI · Oct 2026

GLM 5.3

29.3%#5/15 open

IndependentEpoch AI · Aug 2026

Mistral Large 4 1T A52B

39.4%#4/13 open

Lab-reportedEpoch AI · Oct 2026

GLM 5.3

40.1%#3/13 open

Lab-reportedEpoch AI · Aug 2026

25 more boards (other shared and single-model boards)

Mistral Large 4 1T A52B

1213.2#8/46 open

Lab-reportedEpoch AI · Oct 2026

GLM 5.3

1317.4#5/46 open

Lab-reportedEpoch AI · Aug 2026

Mistral Large 4 1T A52B

51.6%#5/20 open

Lab-reportedEpoch AI · Oct 2026

GLM 5.3

56.6%#2/20 open

Lab-reportedEpoch AI · Aug 2026

Mistral Large 4 1T A52B

33.0%#6/16 open

IndependentEpoch AI · Oct 2026

GLM 5.3

37.0%#5/16 open

IndependentEpoch AI · Aug 2026

Mistral Large 4 1T A52B

10.6%#14/82 open

Lab-reportedEpoch AI · Oct 2026

GLM 5.3

19.1%#6/82 open

Lab-reportedEpoch AI · Aug 2026

Mistral Large 4 1T A52B

88.2%#9/69 open

Lab-reportedEpoch AI · Oct 2026

GLM 5.3

87.7%#12/69 open

Lab-reportedEpoch AI · Aug 2026

Mistral Large 4 1T A52B

60.0#14/19 open

IndependentLiveBench · Oct 2026

GLM 5.3

82.8#6/19 open

IndependentLiveBench · Oct 2026

Mistral Large 4 1T A52B

11.8#17/19 open

IndependentLiveBench · Oct 2026

GLM 5.3

35.9#7/19 open

IndependentLiveBench · Oct 2026

Mistral Large 4 1T A52B

83.9#6/19 open

IndependentLiveBench · Oct 2026

GLM 5.3

85.8#4/19 open

IndependentLiveBench · Oct 2026

Mistral Large 4 1T A52B

35.8%#15/55 open

Lab-reportedEpoch AI · Oct 2026

GLM 5.3

55.5%#1/55 open

Lab-reportedEpoch AI · Aug 2026

Mistral Large 4 1T A52B

17.0%#13/20 open

IndependentEpoch AI · Oct 2026

GLM 5.3

33.0%#5/20 open

IndependentEpoch AI · Aug 2026

Mistral Large 4 1T A52B

10.0%#20/29 open

Lab-reportedEpoch AI · Oct 2026

GLM 5.3

49.0%#8/29 open

Lab-reportedEpoch AI · Aug 2026

Mistral Large 4 1T A52B

8.0#13/19 open

IndependentLiveBench · Oct 2026

GLM 5.3

0.0#19/19 open

IndependentLiveBench · Oct 2026

Mistral Large 4 1T A52B

76.5#6/19 open

IndependentLiveBench · Oct 2026

GLM 5.3

70.2#12/19 open

IndependentLiveBench · Oct 2026

Mistral Large 4 1T A52B

65.6#13/19 open

IndependentLiveBench · Oct 2026

GLM 5.3

77.3#4/19 open

IndependentLiveBench · Oct 2026

Mistral Large 4 1T A52B

28.1#19/19 open

IndependentLiveBench · Oct 2026

GLM 5.3

73.2#7/19 open

IndependentLiveBench · Oct 2026

Only Mistral Large 4 1T A52B (3)

Only GLM 5.3 (7)

VRAM by quantization

Memory to load the model and 2K context; below it, the total at 32K and 128K context. Lighter side in bold.

Q2_K

Mistral Large 4 1T A52B

429 GB380.7 GB file

32K 483 GB · 128K 657 GB

GLM 5.3

324 GB~320.2 GB file

32K 323 GB · 128K 332 GB

Q3_K_M

Mistral Large 4 1T A52B

491 GB~487.5 GB file

32K 546 GB · 128K 720 GB

GLM 5.3

371 GB~367.3 GB file

32K 370 GB · 128K 379 GB

Q4_K_M

Mistral Large 4 1T A52B

604 GB634.8 GB file

32K 658 GB · 128K 832 GB

GLM 5.3

456 GB~452.0 GB file

32K 455 GB · 128K 464 GB

Q5_K_M

Mistral Large 4 1T A52B

716 GB~712.5 GB file

32K 771 GB · 128K 945 GB

GLM 5.3

541 GB~536.8 GB file

32K 540 GB · 128K 549 GB

Q6_K

Mistral Large 4 1T A52B

829 GB~825.0 GB file

32K 883 GB · 128K 1057 GB

GLM 5.3

626 GB~621.5 GB file

32K 625 GB · 128K 634 GB

Q8_0

Mistral Large 4 1T A52B

1004 GB~1000.0 GB file

32K 1058 GB · 128K 1232 GB

GLM 5.3

758 GB801.4 GB file

32K 757 GB · 128K 765 GB

5 more quants

IQ2_XXS

Mistral Large 4 1T A52B

279 GB302.5 GB file

32K 333 GB · 128K 507 GB

GLM 5.3

not listed

IQ2_M

Mistral Large 4 1T A52B

not listed

GLM 5.3

258 GB238.6 GB file

32K 257 GB · 128K 266 GB

IQ3_XXS

Mistral Large 4 1T A52B

391 GB423.5 GB file

32K 446 GB · 128K 620 GB

GLM 5.3

296 GB281.7 GB file

32K 295 GB · 128K 304 GB

IQ4_XS

Mistral Large 4 1T A52B

not listed

GLM 5.3

409 GB365.3 GB file

32K 408 GB · 128K 417 GB

BF16

Mistral Large 4 1T A52B

2004 GB~2000.0 GB file

32K 2058 GB · 128K 2232 GB

GLM 5.3

1511 GB1508.0 GB file

32K 1510 GB · 128K 1519 GB

How to run each

Specifications

Specifications of Mistral Large 4 1T A52B and GLM 5.3
SpecMistral Large 4 1T A52BGLM 5.3
PublisherMistral AIZ.ai
Parameters1000B753.3B
Active parameters52B per token42B per token
ArchitectureMistralLarge4ForConditionalGenerationGlmMoeDsaForCausalLM
Context1M tokens1M tokens
ModalitiesVision, Function-callingChat, Function-calling
LicenseOtherOther
ReleasedSep 2026Aug 2026

Frequently Asked Questions

Which is better, Mistral Large 4 1T A52B or GLM 5.3?

GLM 5.3 leads llmrun Score 130.1 to 118.0; neither fits 24 GB. Choose Mistral Large 4 1T A52B for also does vision; choose GLM 5.3 for higher llmrun Score and stronger at coding.

Which needs less VRAM, Mistral Large 4 1T A52B or GLM 5.3?

At Q4_K_M, Mistral Large 4 1T A52B requires 603.9 GB while GLM 5.3 needs 456.2 GB, making GLM 5.3 the easier model to run on your local setup.

Can I run Mistral Large 4 1T A52B or GLM 5.3 on a 16 GB GPU?

Mistral Large 4 1T A52B does not fit (smallest quant needs 304.3 GB); GLM 5.3 does not fit (smallest quant needs 256 GB).

Which has a longer context window, Mistral Large 4 1T A52B or GLM 5.3?

Mistral Large 4 1T A52B supports 1,048,576 tokens and GLM 5.3 supports 1,048,576 tokens.

Mistral Large 4 1T A52B vs GLM 5.3 — VRAM & GPU Comparison | llmrun